Wheat yield prediction of Rajasthan using climatic and satellite data and machine learning techniques
For global food security, accurate large-scale wheat yield estimates are critical. The solar induced chlorophyll fluorescence is more sensitive to photosynthesis than any other vegetation indices, so it is crucial to uncover its potential for accurately predicting wheat yields. In the present study...
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| Format: | Article |
| Language: | English |
| Published: |
Association of agrometeorologists
2025-03-01
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| Series: | Journal of Agrometeorology |
| Subjects: | |
| Online Access: | https://journal.agrimetassociation.org/index.php/jam/article/view/2807 |
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